07L – PCA, AE, K-means, Gaussian mixture model, sparse coding, and intuitive VAE

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Title	:	07L – PCA, AE, K-means, Gaussian mixture model, sparse coding, and intuitive VAE
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Frames 07L – PCA, AE, K-means, Gaussian mixture model, sparse coding, and intuitive VAE

Description 07L – PCA, AE, K-means, Gaussian mixture model, sparse coding, and intuitive VAE

Comments 07L – PCA, AE, K-means, Gaussian mixture model, sparse coding, and intuitive VAE

1:07:41 I still can't quite figure out how Yann visualized the columns, is it by gradient ascend (grad cam I think?) thank you!!!
Comment from : anon doggo

Time stampsbr00:06:55 – Training methods revisitedbr00:08:03 – Architectural methodsbr00:12:00 – 1 PCAbr00:18:04 – Q&A on Definitions: Labels, (un)conditional, and (un, self)supervised learningbr00:25:31 – 2 Auto-encoder with Bottleneckbr00:27:40 – 3 K-Meansbr00:34:40 – 4 Gaussian mixture modelbr00:41:37 – Regularized EBMbr00:52:08 – Yann out of contextbr00:53:24 – Q&A on Norms and Posterior: when the student is thinking too far aheadbr00:53:58 – 1 Unconditional regularized latent variable EBM: Sparse codingbr01:06:10 – Sparse modeling on MNIST & natural patchesbr01:12:18 – 2 Amortized inferencebr01:17:02 – ISTA algorithm & RNN Encoderbr01:26:56 – 3 Convolutional sparce codingbr01:36:37 – 4 Video prediction: very brieflybr01:39:22 – 5 VAE: an intuitive interpretationbr01:48:34 – Helpful whiteboard stuffbr01:52:35 – Another interpretation
Comment from : anon doggo

thank you for this but one request though, can you share homework for these weeks as you did for the last weeks? It is a really good practice to go through thanks again
Comment from : Hamed Gholami

21:21 - Nice explanation (little different than usual definitions) what is supervised, unsupervised and self-supervised learning Should be given in the very beginning of that course BTW Thank you for sharing all these videos!
Comment from : 666zhang666

Are there any reference textbooks for this course ?
Comment from : Buoy Rina

I am awake at 52:09 as well 🤣Joke aside, 2021 videos are quite different from 2020, which is a great treat! I am being introduced to VAE from EBM's R(z) Also, thanks for sharing the homework 3 questions which help me to think and understand EMB better Thank you Professor Yann and Professor Alfredo! 🥰
Comment from : Shihgian Lee

Hi Alfredo, once gone through this online version, do you recommend watching some parts from the offline version as well PS: Thanks a Lot for this series!!
Comment from : Aditya Sanjiv Kanade ee20s086

Hello, Alfredo! Thank you for video!
Comment from : Николай Новичков

There is a sudeen jump in the prerequisites math needed , why dont you supplement us with the best sources to keep up with u and yann in term of math ?
Comment from : Ahmed BahaaElDin